drjobs AI/ML Engineer with Python

AI/ML Engineer with Python

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1 Vacancy
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Job Location drjobs

Mountain View, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Position: AI/ML Engineer With Python

Location: Mountain View CA (Onsite)

Duration: Long term contract

Minimum Qualifications

  • BA/BS in Computer Science or Computer Engineering or equivalent technical degree
  • Familiarity with GitHub and open source software
  • Must be able to recognize potential issues and compose technical communications in GitHub
  • Experience working with Windows MacOS and Ubuntu environments
  • Excellent written and oral communication skills
  • Being a team player with a positive attitude and people skills
  • Open to learning new internal technical tools
  • Experience with Python (see below)
Preferred Qualifications
  • Masters degree/PhD in Computer Science & Data Science/AI ML or a related technical field or equivalent practical experience.
  • 2 years of work or educational experience in Machine Learning or Artificial Intelligence
  • Experience with one or more additional general purpose programming languages including but not limited to: Java (ideal) Go or C/C
Prerequisites
  • Python Skills
  • Python installation environment setup and Jupyter Notebook
  • Object and Data Structures basics
  • Comparison Operators and Statements
  • Methods and Functions
  • Errors and Exception handling
  • Built-in functions and Python Generators
  • Using scientific Python libraries numpy pandas matplotlib scikit-learn
  • Use data visualization with Python
ML Knowledge
  • Familiarity and experience with the following ML concepts including:
  • Overview of ML explaining life cycle like Data Acquisition->Cleaning->Training a model->Testing a model->Evaluating a model
  • Strong debugging skills on C/Python code.
  • Basic jargons of ML which include Cost functions Gradient Descent Back Propagation Activation functions etc
  • Supervised Unsupervised Reinforcement learning
  • Classifications and Regression
  • Using Datasets
  • Types of algorithms like Decision Tree K means etc
  • Importing data in python clean preprocess data and manipulate data frames with pandas
  • Neural networks CNN RNN/LSTM
  • Familiarity with LLMs and generative AI including prompt engineering LLM evaluation of model outputs and concepts such as a judge model and final verdict

Employment Type

Full-time

Company Industry

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